Model Comparison

Phi-3.5-MoE-instruct vs Qwen3 VL 30B A3B Instruct

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

Mon May 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

29.0B diff

Phi-3.5-MoE-instruct has 29.0B more parameters than Qwen3 VL 30B A3B Instruct, making it 93.5% larger.

Phi-3.5-MoE-instruct

60.0Bparameters

Qwen3 VL 30B A3B Instruct

31.0Bparameters

60.0B

Phi-3.5-MoE-instruct

31.0B

Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (32,768 tokens).

Phi-3.5-MoE-instruct

Input- tokens

Output- tokens

Qwen3 VL 30B A3B Instruct

Input131,072 tokens

Output32,768 tokens

Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-3.5-MoE-instruct

Text

Images

Audio

Video

Qwen3 VL 30B A3B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-3.5-MoE-instruct

MIT

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 13 months newer than Phi-3.5-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

1.7 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

7 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Phi-3.5-MoE-instruct

View details

Microsoft

No standout differentiators in the data we have for this pair.

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Supports multimodal inputs

Higher GPQA score (70.4% vs 36.8%)

Higher MMLU score (85.0% vs 78.9%)

Higher MMLU-Pro score (77.8% vs 45.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Phi-3.5-MoE-instruct	Qwen3 VL 30B A3B Instruct

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen3 VL 30B A3B Instruct.

Which is better, Phi-3.5-MoE-instruct or Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Phi-3.5-MoE-instruct is made by Microsoft and Qwen3 VL 30B A3B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi-3.5-MoE-instruct compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

What are the context window sizes for Phi-3.5-MoE-instruct and Qwen3 VL 30B A3B Instruct?

Phi-3.5-MoE-instruct supports an unknown number of tokens and Qwen3 VL 30B A3B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-3.5-MoE-instruct and Qwen3 VL 30B A3B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-MoE-instruct and Qwen3 VL 30B A3B Instruct?

Phi-3.5-MoE-instruct is developed by Microsoft and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.